Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We present a dual-proxy, seven-plane gateway for agentic AI in IoT that separates data, control, security, autonomy, context/knowledge, coordination, and management concerns. A lightweight client-side proxy verifies, annotates, and signs requests, while a server-side proxy near the data plane enforces global policy and model routing. To govern autonomous AI, we add a Goal-Plan-Step sentinel that requires plan publication and step-level justifications, and we execute device commands through a Digital Twin. Our Rust/Actix-Web prototype hosts hot-swappable WebAssembly filters (Wasmtime). In closed-loop tests with 1,000 requests and 1–10 concurrent clients, median latency for the proxy-microservice invocations is below 0.8 seconds. Predictable behaviour persists up to 100 clients, with overload observed beyond 200 on a single GCP e2-medium host. These results indicate that governance and low-latency operation can be achieved for agentic IoT deployments with modest infrastructure requirements.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it